SeniorDataProductAnalyst,AVP

Job Description Own and lead analytical **data product definition, adoption, and lifecycle management** on the **Target State data Platform**. Act as a senior bridge between business domains, Data Engineering, Platform Engineering, and Architecture to ensure complex enterprise datasets are translated into **trusted, well‑defined, and consumption‑ready data products** supporting analytics, reporting, and downstream use cases across **Core Reference, IBOR, Datahub, Stamford Data Warehouse, and many other data** initiatives. **Key Responsibilities** * Lead definition and ownership of analytical **data products** , including scope, business semantics, metrics, and consumption expectations * Translate complex business requirements into clear data definitions, KPIs, and analytical specifications * Partner with Data Engineering teams to design, validate, and evolve **curated analytical datasets** and **semantic / serving models** * Ensure consistency of metric definitions and business logic across BI tools and downstream consumers * Define data product contracts including schemas, documentation, SLAs, freshness, and quality expectations * Drive implementation and review of **data quality rules, reconciliation checks, and acceptance criteria** * Support data lineage, certification, and discoverability through collaboration with Platform Engineering and catalog teams * Perform impact analysis and coordinate communication for schema, metric, or semantic changes * Act as the primary senior analytics point‑of‑contact for business stakeholders and data consumers * Mentor Data Product Analysts and promote data‑as‑a‑product best practices across teams **Qualifications** * Strong experience in **data product, analytics, or senior data analysis roles** , working closely with data engineering teams * Advanced **SQL** skills and deep understanding of analytical query patterns * Strong understanding of **data modeling concepts** , including curated analytical and semantic models * Hand